312 results about "Rework" patented technology

The invention discloses a high-precision instrument assembly fault backtracking method and system, belongs to the field of precision manufacturing, and aims to solve the problems that in a traditional backtracking method, assembly data are scattered and unreliable, fault root positioning is fuzzy, and new scene adaptation depends on a large amount of data. The method comprises the following steps: collecting assembly structured data, video images and environment data in a multi-source manner, filtering out low-quality images, and distributing unique identifiers for products; fusing the multi-modal data to generate a depth feature matrix; constructing an anomaly detection model to output a risk score and a label; hashing the data and then storing the data into a product exclusive private block chain; when a fault occurs, extracting data on the chain through a unique identifier, reconstructing an assembly process by using a graph neural network, and comparing a standard positioning root; and based on the fault report incremental training model, parameters are optimized in combination with meta-reinforcement learning. According to the method, the data authenticity is guaranteed, the fault backtracking precision and efficiency are improved, a new scene is quickly adapted, the production rework rate is reduced, and the stable assembly quality is maintained.

The invention belongs to the technical field of production scheduling systems, and particularly relates to an adhesive tape production line production scheduling system based on intelligent optimization, which comprises a sensing layer for monitoring operation data of equipment through sensing equipment, sorting the equipment data into an equipment data packet and uploading the equipment data packet to a control center, the equipment data packet comprises a production state, an operation state, process parameters and material stock; static specifications, dynamic performance and plan constraints of equipment are converted into mathematical constraints which can be identified by a scheduling algorithm, and an equipment processing boundary is determined through an adaptive matrix, so that the problems that large equipment is allocated to small-specification orders or low-precision equipment is allocated to high-precision demands, the equipment specification mismatching rate is reduced, and the rework rate is reduced due to insufficient equipment capability are avoided; moreover, productivity expectation is dynamically corrected through an attenuation curve, progress delay caused by scheduling based on theoretical values is avoided, scheduling progress deviation is reduced through productivity attenuation correction, and the order on-time delivery rate is increased.

The invention relates to the technical field of hydraulic machine oil cylinder assembling, in particular to an automatic oil cylinder assembling control system and an assembling process. Comprising an assembling platform, a clamping mechanism, a mounting mechanism, a visual monitoring system and an upper computer, the upper computer controls the clamping mechanism, the mounting mechanism and the visual monitoring system, through cooperation of all the mechanisms and a monitoring module, an oil cylinder is moved from one end of the assembling platform to the other end of the assembling platform, all parts are assembled in the moving process, and the assembling process is completed. The purpose of automatically installing the oil cylinder is achieved, the whole installation process can be monitored, and the purposes of reducing the number of reworking times, improving efficiency and improving the quality of the oil cylinder are achieved.

The invention provides an MES-based defect detection and quality control optimization method and system. Defect prevention and process dynamic adjustment are realized through a full-process data closed loop. The method comprises the following steps: collecting multi-process data, extracting features such as material batches, process parameters and equipment numbers to construct defect tags, cleaning historical data, constructing time window features, performing multi-class defect classification prediction by adopting an LSTM + attention mechanism model, and analyzing feature contribution degrees in combination with an SHAP value. And setting a multi-stage early warning mechanism, triggering equipment pause and maintenance notification based on a yield threshold, performing graded response according to defect severity, dynamically adjusting equipment parameters, and linking process optimization suggestions. And iterating the model and the rule, returning rework data to generate an optimized sample, mining a defect-parameter association rule in combination with an Apriori algorithm, and updating the equipment health degree evaluation model. The problems of hysteresis quality and staticization of traditional quality control are solved, and an intelligent closed-loop system from defect prediction to process optimization is constructed.

The invention relates to the technical field of crossing of augmented reality and intelligent manufacturing, and provides an intelligent assembly guiding and real-time quality inspection method and system for a narrow space. According to the method, multiple sensors are arranged in AR glasses to collect narrow space environment data in real time, high-precision matching of a virtual model and a real environment is realized based on a point cloud registration technology, and a dynamic assembly guide animation is generated; after the process is completed, triggering a quality inspection instruction through an AR interface gesture, and automatically shooting an assembly result by a depth camera carried by a mechanical arm; performing real-time feature comparison by adopting a deep learning algorithm to generate a visual detection report; and when the assembly deviation is detected, the system immediately provides error correction guidance on an AR interface and automatically restarts current process guidance to form an'operation-quality inspection-error correction 'real-time closed loop. The method effectively solves the technical problems that in narrow space assembly, blind area operation difficulty is large, quality verification lags behind, and the rework rate is high.

The invention discloses a BIM (Building Information Modeling)-based suspended ceiling advanced accurate positioning and trepanning construction method, which comprises the following steps of: S1, establishing a construction model of each specialty in a suspended ceiling, performing collision inspection, and adjusting the construction model; s2, establishing a three-dimensional model including suspenders, keels and the like by utilizing BIM software; s3, comprehensive collision inspection is carried out, and the ceiling structure is prevented from conflicting with other professional equipment; s4, generating a construction drawing and organizing field implementation according to comprehensive suspended ceiling deepening typesetting; s5, a trepanning positioning plate is manufactured, and the trepanning positioning plate is used for accurately positioning the trepanning point position of the veneer plate on site; s6, paying off the trepanning point, confirming a central point and implementing accurate trepanning; and S7, after trepanning is completed, point location installation is conducted on facility equipment needing to be installed in advance. Advanced coordination of the keel in the suspended ceiling and various equipment point positions can be achieved, precise positioning of suspended ceiling trepanning is achieved, disassembly and rework are reduced, and the construction precision and efficiency are improved.

The invention provides a method for monitoring the tightening state of a screw on line, which comprises the following steps of: based on segmented characteristic analysis of a torque-angle (T-theta) curve, refining a standard tightening process into three stages: a screwing-in angle stage, a friction torque stage and a tightening torque stage, and simultaneously extracting characteristic quantity for each stage, and establishing a judgment rule or model to detect whether the thread is screwed in or not, whether slipping / impacting occurs or not, whether expected pre-tightening force is reached or not, whether the bottom surface is jacked or not, whether the thread is damaged or broken or not and the like. And finally, stage judgment is gradually updated along with the sampling points in the tightening process. According to the method, specific physical events in the process can be identified instead of final value abnormity, abnormal tightening can be predicted and stopped before tightening is finished, reworking and damage are reduced, misjudgment is reduced through in-segment feature analysis, continuous improvement is facilitated, and threshold values and a judgment model are continuously optimized through historical waveform learning.

The invention relates to a ship assembly carrying docking precision control method, device and equipment and a storage medium. According to the method, the whole-process precision control in the ship assembly and carrying process can be realized by constructing the digital twin, collecting the data of the multi-source sensor, establishing the virtual-real mapping relation and combining deep learning prediction and real-time compensation, the butt joint state of the ship block can be monitored in real time, thermal deformation caused by welding can be predicted in advance, and the welding quality can be improved. And dynamic adjustment is conducted through a compensation strategy, it is guaranteed that the final welding precision reaches the standard, and therefore rework is reduced, the precision of butt joint errors can be greatly improved, the rework rate is effectively reduced, and the quality and efficiency of ship building are remarkably improved.

The invention discloses a quality monitoring method and device for a metal surface treatment process, equipment and a medium, and belongs to the technical field of computers. The method comprises the following steps: acquiring surface three-dimensional data of a metal object; according to the surface three-dimensional data and cladding parameters, target position data after cladding is determined; in the process of carrying out laser cladding on the metal object, actual position information after cladding and surface regularity information after cladding are obtained; and identifying whether the actual position information is consistent with the target position information or not so as to carry out quality monitoring on the cladding thickness, and identifying whether the surface regularity information after cladding accords with the target regularity or not so as to carry out quality monitoring on the cladding regularity. According to the technical scheme, real-time monitoring and multi-dimensional quality evaluation in the cladding process can be achieved, reworking is reduced, and the timeliness and comprehensiveness of cladding quality monitoring are improved.

The invention relates to the technical field of industrial automation control, and discloses a multi-station cooperative control method and system of a distributed PLC. The method comprises the steps that independent PLCs are arranged at feeding stations of an annular conveying line, and PLC control units are synchronously formed through an industrial Ethernet and a global clock; the order parameters and the target process information are written into a code carrier on the tray trolley through an RFID radio frequency read-write device, and the code carrier records the process progress, the detection result, the abnormal code and the beat deviation; when the code carrier enters each feeding station along with the tray trolley in sequence, the PLC control unit reads information, monitors the position of the trolley, executes a corresponding task and updates process information in real time; when the detection result is abnormal or the beat deviation exceeds a threshold value, the system triggers a beat adaptive algorithm to generate an optimization instruction set to guide the production beat adjustment; and the warehousing station combines the optimization instruction to execute finished product warehousing or repair processing. The automation level and the production efficiency of a production line are improved.

The invention discloses an electric discharge machine multi-machine cooperative machining control method and system, and relates to the technical field of electric discharge machines. A mapping table is established, an alignment state is generated, a medium pollution threshold value is set and monitored, candidate scheduling is generated, simulation is performed by using a discharge parameter template, and gap updating monitoring, electrode abrasion compensation writing, verification before transfer and remeasurement are combined to generate a receipt. Through unified work order analysis and operation drawing modeling, centralized management of the electrode, the machine tool capacity and the quality threshold value is achieved, it is ensured that the machining precision of different machine tools is consistent, the overall efficiency is improved, the stability of continuous machining is kept, through transfer verification and quality closed loop, it is ensured that all procedures are traceable, and the working efficiency is improved. And continuous optimization is realized through abnormal classification and experience library updating, so that rework is reduced on the whole, and the stability, precision and production takt of multi-machine collaborative processing are improved.

The invention relates to the technical field of batteries, in particular to a processing method of a back-polished suede-like heterojunction battery rework piece and application of the back-polished suede-like heterojunction battery rework piece. The processing method comprises the following steps: S1, if a transparent conductive oxide film layer exists on the surface of a reworked piece, removing the transparent conductive oxide film layer by acid pickling; s2, performing alkaline micro-corrosion secondary texturing treatment on the reworked wafer treated in the step S1 so as to selectively remove an amorphous silicon functional layer, modifying a front pyramid textured surface so as to reduce the reflectivity, and enabling the reflectivity reduction amount of a back-like back-polished structure to be less than or equal to 3.5%; and S3, carrying out cleaning and surface rounding treatment on the silicon substrate after secondary texturing. According to the method, high-efficiency, low-loss and low-cost reworking treatment is realized while the integrity of the similar back-polished differentiated suede structure is guaranteed, and a key technical support is provided for large-scale manufacturing of the thin-sheet heterojunction solar cell.

The application discloses a preparation method of a multi-layer composite film system, a conductive thin film and a semiconductor device. The preparation method of the multi-layer composite film system comprises the following steps: preparing a first layer of metal film on a substrate by a vacuum coating method; performing surface roughening treatment on the first layer of metal film; and preparing a second layer of metal film on the first layer of metal film after the surface roughening treatment by the vacuum coating method. The preparation method of the multi-layer composite film system can enhance the adhesion between the film layers by performing the surface roughening treatment on the first layer of metal film, so that the mechanical combination mode is adopted between the film layers, the adhesion between the film layers is improved, some film layers which cannot be combined under vacuum can be effectively connected in the mechanical combination mode, the equipment investment cost is reduced, the multi-layer film system of various types is prepared by a single device, the substrate rework is effectively reduced or prevented, and the production cost is greatly reduced.

This invention relates to the field of strategic planning technology, and discloses a strategy generation method and system based on anchor bolt mesh installation. The method includes: acquiring all anchor bolt positions and mesh sizes within the tunnel, and correcting the mesh sizes; digitally twinning the anchor bolt positions in a three-dimensional coordinate system to construct a multi-layered mesh digital twin model; and performing multi-objective strategy optimization on the multi-layered mesh digital twin model to generate a mesh installation strategy on the anchor bolts. This invention can automatically generate mesh installation schemes with high coverage, low loss, and strong stability, reducing manual intervention, material waste and rework rates, effectively improving construction quality and automation levels, and has significant engineering application value and promising prospects for wider application.

This application provides an FPCA testing fixture, relating to the field of FPCA testing technology. It includes an upper mold and a lower mold, with the upper mold positioned above the lower mold. A mounting plate is provided on the lower mold, and the mounting plate has a product slot for placing FPCA. A first needle plate is movably disposed below the mounting plate, and a first probe is mounted on the first needle plate. The upper end of the first probe extends into the product slot. A booster seat is disposed below the first needle plate, and the booster seat is externally connected to a booster cylinder. This fixture independently pushes the first probe using a dedicated external booster cylinder, increasing the first probe's stroke and ensuring that the first probe can effectively pierce the rosin layer, improving test yield, reducing unnecessary rework or scrap, and increasing production efficiency.

The application discloses a kind of building passive energy-saving strategy generation method and system, it is related to passive energy-saving strategy generation technical field, including compiling and archiving strategy generation task book, solidification target caliber source, target hierarchical rule and global partition facade roof four layers hard constraint gate and conflict record field;According to task book, it is divided into strategy unit according to orientation shelter, enclosure structure, opening restriction, operation constraint and construction window consistency and solidifies account snapshot, generates evidence chain at unit granularity and executes sufficiency gate and benchmark backout;Establish configuration space and eliminate configuration that triggers hard constraint;Finally generate strategy package and screen sorting, output strategy combination, implement in stages and verify read-write results.The method disclosed in the application realizes strategy explainable, implementable and verifiable by target caliber and hard constraint gate solidification, evidence chain backout, mutually exclusive dependency alternative constraint and three-stage screening, reduces conflict rework and improves energy-saving and budget controllability.

The utility model relates to PCB board production equipment technical field, the technical problem that the utility model solves is uneven current distribution, rework rate is too high. In order to solve the above technical problem, the utility model provides a kind of copper tank for the copper of PCB board immersion copper. The utility model includes: rectifier;Outer tank body is equipped with medicine water and conductive roller;Soaking tank is located in outer tank body;Conveying assembly is located in soaking tank, and conveying assembly includes upper roller piece group and the lower roller piece group corresponding with being equipped in upper roller piece group below;Anode plate assembly is located in soaking tank;Anode plate assembly includes upper conductive plate and the lower conductive plate corresponding with being equipped in upper conductive plate below;Upper conductive plate is located in upper roller piece group;Positive terminal is connected with upper conductive plate, lower conductive plate, and negative terminal is connected with conductive roller;Rectifier, conductive roller, circuit board, upper conductive plate, lower conductive plate and soaking liquid constitute circuit loop. The utility model current distribution is more uniform, and rework is reduced.

The invention discloses a shell repair quality evaluation and judgment method based on visual inspection, and relates to the technical field of shell repair evaluation, and the method comprises the steps: 1, obtaining dark field images of a shell repair region and a reference region; 2, dividing the dark field images of the restoration area and the reference area into a plurality of non-overlapping sub-blocks, calculating the local gradient direction of pixels in each sub-block, counting the pixel proportion of each direction interval, determining the main direction of each sub-block, and further obtaining the main direction distribution of all the sub-blocks in the restoration area and the reference area; the method comprises the following steps of: calculating and extracting a texture main direction of each local region by adopting image partitioning and pixel gray gradient calculation, counting a distribution rule of the texture main direction, calculating a region flow direction entropy for representing a texture direction distribution chaos degree, and calculating a main direction deviation for representing an overall direction deviation degree at the same time; and a comprehensive direction consistency deviation coefficient is obtained by weighting and fusing the characteristic indexes of the two dimensions, and after the comprehensive direction consistency deviation coefficient is compared with a preset threshold value, a detection passing or reworking processing judgment signal is output.